similar to: Hmisc and Design Packages

The Hmisc and Design libraries have been updated respectively to versions 1.4-2 and 1.1-1. New versions for Linux/Unix/Windows may be obtained from http://hesweb1.med.virginia.edu/biostat/s/library/r . Web sites for the libraries are http://hesweb1.med.virginia.edu/biostat/s/Hmisc.html and http://hesweb1.med.virginia.edu/biostat/s/Design.html . Thanks to Xiao Gang Fan for porting the libraries

The Hmisc and Design libraries have been updated respectively to versions 1.4-2 and 1.1-1. New versions for Linux/Unix/Windows may be obtained from http://hesweb1.med.virginia.edu/biostat/s/library/r . Web sites for the libraries are http://hesweb1.med.virginia.edu/biostat/s/Hmisc.html and http://hesweb1.med.virginia.edu/biostat/s/Design.html . Thanks to Xiao Gang Fan for porting the libraries

Great news! Having spent a significant amount of time porting/mantaining some packages on S4/Splus 5.x and R, I'm interested in your experience as you port Hmisc and Design; I'd like to know of your progress in order to help improve available R/Splus portability tools both at the C and the S language code. These tools include the package SLanguage written by John Chambers, and

The Hmisc and Design libraries have had major improvements. New versions for Linux/Unix/Windows may be obtained from http://hesweb1.med.virginia.edu/biostat/s/library/r Thanks to Xiao Gang Fan for porting the libraries to Windows once again. Change logs may be obtained from http://hesweb1.med.virginia.edu/biostat/s/library/common Several bugs have been fixed in Design, and many bugs have been

New versions of the Hmisc and Design packages, including ones for Windows, may be found at http://hesweb1.med.virginia.edu/biostat/s/library/r Thanks as always to Xiao Gang Fan <xiao.gang.fan1 at libertysurf.fr> for providing the Windows ports. In Hmisc, new features for multiple imputation have been added to aregImpute and LaTeX and plot methods have been improved for summary.formula

The Design library has been fully ported to R except for Cox proportional hazards regression modeling (using Therneau's survival package) which will be available in about two weeks. It will take much longer to make all the example code executable, is it currently contains many examples for which data are not provided. Thanks to Xiao Gang Fan <xiao.gang.fan1 at libertysurf.fr> who

The Design library has been fully ported to R except for Cox proportional hazards regression modeling (using Therneau's survival package) which will be available in about two weeks. It will take much longer to make all the example code executable, is it currently contains many examples for which data are not provided. Thanks to Xiao Gang Fan <xiao.gang.fan1 at libertysurf.fr> who

After several nice and informative discussions with Bill Venables, Duncan Temple Lang, Tony Rossini, Martin Maechler, and Robert Gentleman, I am pleased to announce that I am becoming an R user and have begun porting the Hmisc and Design libraries to R. I have been very impressed with the maturity of R and with its logical design, particularly its online documentation setup and the way packages

After several nice and informative discussions with Bill Venables, Duncan Temple Lang, Tony Rossini, Martin Maechler, and Robert Gentleman, I am pleased to announce that I am becoming an R user and have begun porting the Hmisc and Design libraries to R. I have been very impressed with the maturity of R and with its logical design, particularly its online documentation setup and the way packages

I am pleased to announce that a new version of the Hmisc package, 2.0-0, is on CRAN. Thanks to Kurt Hornik and Uwe Ligges and others for making this possible. Thanks also to Xiao Gang Fan who has generously ported Hmisc and Design to Windows multiple times until now. The Design package will soon be on CRAN too. --- Frank E Harrell Jr Prof. of Biostatistics & Statistics Div. of

I am pleased to announce that a new version of the Hmisc package, 2.0-0, is on CRAN. Thanks to Kurt Hornik and Uwe Ligges and others for making this possible. Thanks also to Xiao Gang Fan who has generously ported Hmisc and Design to Windows multiple times until now. The Design package will soon be on CRAN too. --- Frank E Harrell Jr Prof. of Biostatistics & Statistics Div. of

Many of you are using Sweave for making statistical reports. I thought it might be helpful to some to see an example of the setup I use (in Linux). For those of you who have not yet discovered the power and productivity gains from using Fritz Leisch's wonderful package, I encourage you to give Sweave a try. %File: model.nw %Usage: % Put library(Hmisc;Design;tools} in .First % Sweave model

I am using read.spss in the foreign package to read an SPSS save file. For date variables I get huge values such as 11489990400. Does anyone know how to convert these values to R POSIXct date objects? Thanks in advance -Frank platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor

On Mon, 16 Jun 2003 09:56:07 +0200 Patrick Hausmann <p.hausmann at mr-regionalberatung.de> wrote: > Dear Frank, > > I can reproduce the problem from Philippe Glaziou (see attachment). > Maybe this can help. > Best, > Patrick > > Am Wollelager 11 > 27749 Delmenhorst > Tel. 04221 96373-0 > Fax 04221 96373-29 > > http://www.mr-regionalberatung.de >

I am trying to replicate part of the function of the S-Plus terms.inner function. I don't need an entire model terms object but R expressions or character strings containing the innermost variable name given a vector of character strings or expressions. Here are some example inputs that each should result in the string or expression "x": x; x^2; g(x); h(g(x)); h(g(x^3));

Under platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 5.1 year 2002 month 06 day 17 language R I am having the following problem. d <- Sys.time() w <- data.frame(d)

Thanks to Deepayan Sarkar (lattice) and Paul Murrell (grid) I have nearly finished porting the Hmisc library's xYplot function to R. xYplot extends xyplot to allow for error bars, bands, and a few other features. In S-Plus I extended the Trellis function xyplot mainly by writing panel.xYplot. In R, xyplot contains a lot of code, so I implemented xYplot by calling xyplot from it. Things are

I am pleased to announce a major revision of the document "Statistical Tables and Plots using S and LaTeX". It is available at http://hesweb1.med.virginia.edu/biostat/s/doc/summary.pdf (76 pages, 500K). It should be of interest to those who produce statistical reports or those who use or would be interested in using LaTeX, the greatest productivity tool for document processing in my

I am pleased to announce a major revision of the document "Statistical Tables and Plots using S and LaTeX". It is available at http://hesweb1.med.virginia.edu/biostat/s/doc/summary.pdf (76 pages, 500K). It should be of interest to those who produce statistical reports or those who use or would be interested in using LaTeX, the greatest productivity tool for document processing in my

In S-Plus the ... argument for tapply is before simplify. In R (1.2.3) ... is after simplify, causing the user to have to specify simplify every time ... is used even though the default is usually OK. Unless there was a benefit to reordering the arguments, it might be a good idea to reconsider the current function definition. ... is probably used more than simplify (e.g., tapply(rainfall,